Editorial
Attach importance to implication of"Preferred Reporting Items for Systematic Reviews and Meta-Analyses"in ophthalmology
Li Shiming, Wang Ningli, Zhan Siyan
Published 2017-11-10
Cite as Chin J Exp Ophthalmol, 2017,35(11): 961-965. DOI: 10.3760/cma.j.issn.2095-0160.2017.11.001
Abstract
As a part of evidence-based medical practice to obtain high-level evidence through summarizing previous studies, systematic review and meta-analysis have been paid more and more attention.The number of papers published is increasing recently.However, many relevant published papers in biomedical sciences revealed low quality, such as non-uniform and incomprehensive items, and even unclear narrative in many portions of review.These problems reduced the evidence-based role of systematic review and Meta-analysis paper, and affected the interpretation and effective availability of summarized evidence.Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) is a report standard, but it has not been well-known in ophthalmology of China.The systematic review and meta-analysis published by Chinese ophthalmologists are less guided by PRISMA.Learning PRISMA is helpful not only for improving quality of papers, but also for acquainting the key elements of high-level clinical research, even for standardizing the medical code of conduct, which are important to make it better for conduct evidence-based research in ophthalmology.
Key words:
Evidence-based medicine; Systematic reviews; Meta analyses; Report standard; Clinical research; Ophthalmology; Standardization; Preferred Reporting Items
Contributor Information
Li Shiming
Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing 100730, China
Wang Ningli
Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing 100730, China
Zhan Siyan
Centre for Evidence Based Medicine and Clinical Research, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100083, China
